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A new optimal seam finding method based on tensor analysis for automatic panorama construction
Zhao G(赵戈); Lin L(蔺蘭); Tang YD(唐延东)
作者部门机器人学研究室
关键词Tensors
发表期刊Pattern Recognition Letters
ISSN0167-8655
2013
卷号34期号:3页码:308-314
收录类别SCI ; EI
EI收录号20140617267423
WOS记录号WOS:000315013000009
产权排序1
摘要Optimal seam finding is a popular panorama construction strategy. It has the advantage of constructing panorama rapidly as well as being memory efficient. However, it is intrinsically sensitive to radiometric distortions, which is why artifacts are often visible in the composed panorama. Besides, it requires users to specify weight parameters, making such algorithms difficult to configure. In this paper, by fully exploiting the camera model and utilizing the knowledge of tensor analysis, we propose a novel optimal seam finding method. It not only enables the creation of artifact-free panorama from distorted input images but also requires no user-specified weights. We verify the effectiveness of our method by testing it on variegated sets of images with different types of optical distortions.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence
关键词[WOS]IMAGE REGISTRATION ; MOSAICS ; FRAMEWORK ; SPLINE
WOS研究方向Computer Science
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/10624
专题机器人学研究室
通讯作者Tang YD(唐延东)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
2.Graduate University of the Chinese Academy of Sciences, Beijing, China
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GB/T 7714
Zhao G,Lin L,Tang YD. A new optimal seam finding method based on tensor analysis for automatic panorama construction[J]. Pattern Recognition Letters,2013,34(3):308-314.
APA Zhao G,Lin L,&Tang YD.(2013).A new optimal seam finding method based on tensor analysis for automatic panorama construction.Pattern Recognition Letters,34(3),308-314.
MLA Zhao G,et al."A new optimal seam finding method based on tensor analysis for automatic panorama construction".Pattern Recognition Letters 34.3(2013):308-314.
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